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    Healthcare Analytics Adoption Model

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    Read a More In-Depth Explanation Here

    Why Healthcare Analytics?

    Healthcare in the United States and other parts of the world has slowly been progressing through three waves of data management: data collection, data sharing, and data analytics. So far, the data collection and sharing waves, characterized by the urgent deployment of electronic health records and health information exchanges, have failed to significantly impact the quality and cost of healthcare. And despite the current hype about big data being the next “big” thing in other industries, the reality in healthcare is that we are just beginning to have the necessary analytics capabilities that enable system-wide quality improvement and cost reduction efforts. The real promise of analytics lies in its ability to transform healthcare into a truly data-driven culture.

    Healthcare Analytics can be confusing, even overwhelming without a systematic framework for guiding your approach and priorities. The following framework, called the Healthcare Analytics Adoption Model, was developed by a cross-industry group of healthcare industry veterans as a guide to classifying groups of analytics capabilities, and provide a systematic sequencing to adopting analytics within health system organizations. A successful and sustainable analytics strategy requires building foundational elements of the model first in order to support the upper levels of the model in later years . View Contributors List

    Purpose

    The model borrows lessons learned from the HIMSS EMR Adoption Model, and describes an analogous approach for assessing the adoption of analytics in healthcare. The Healthcare Analytics Adoption Model provides:

    • A framework for evaluating the industry’s adoption of analytics
    • A roadmap for organizations to measure their own progress toward analytic adoption
    • A framework for evaluating vendor products

    We believe that this Analytics Adoption Model will enable healthcare organizations to fully understand and leverage the capabilities of analytics and so achieve the ultimate goal that has eluded most provider organizations – that of improving the quality of care while lowering costs and enhancing clinician and patient satisfaction.

    The Eight Levels of the Analytics Adoption Model

    (click to reveal each level)

    Level 8 – Personalized Medicine & Prescriptive Analytics

    Level 7 – Clinical Risk Intervention & Predictive Analytics

    Level 6 – Population Health Management and Suggestive Analytics

    Level 5 – Waste & Care Variability Reduction

    Level 4 – Automated External Reporting

    Level 3 – Automated Internal Reporting

    Level 2 – Standardized Vocabulary & Patient Registries

    Level 1 – Enterprise Data Warehouse

    Foundation of data and technology

    Enterprise Data Warehouse:  

    • At a minimum, the following data are co-located in a single data warehouse, locally or hosted: HIMSS EMR Stage 3 data, Revenue Cycle, Financial, Costing, Supply Chain, and Patient Experience. 
    • Searchable metadata repository is available across the enterprise. 
    • Data content includes insurance claims, if possible. 
    • Data warehouse is updated within one month of source system changes. 
    • Data governance is forming around the data quality of source systems.
    • The EDW reports organizationally to the CIO.

    Level 0 – Fragmented Point Solutions

    Interested In a More In-Depth Explanation?

    Dale Sanders, Dennis Protti and others have written a white paper, giving a more detailed explanation of each of the levels of the Healthcare Analytics Adoption Model. Click here to get a copy of the Healthcare Analytics Adoption Model White Paper or by clicking the link below. In addition, Dale recently presented a live webinar explaining the analytics adoption model. You can click here to see his webinar, and/or get copies of his slides, or even get a transcript of his webinar.

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    Take a Self-Assessment Survey to Find Out Where You Stand

    Similar to the HIMSS EHR Adoption Model, there is a needed logical progression to become a systemic, analytics-driven organization. Health systems that aspire to higher-level results which attempt to tackle analytics in a scattered way are often frustrated by the lack of inadequate foundational platforms, tools, and skills that need to be mastered at the lower levels of the analytics adoption model. Based on our years of collective experience, we have designed a self-assessment survey to help you assess where your organization is consistently operating in each of the levels. Upon finishing the survey, you will be given a customized report either in HTML format or a PDF version that you can email to yourself, summarizing your status and a list of customized recommendations, based on your input. Click here to take the self-assessment survey.

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    A Range of Products Across Healthcare Analytics Stages

    Health Catalyst has thoughtfully developed a range of products, applications, and services that span the different stages and levels of the Analytic Adoption Model. No matter where a system has progressed in analytics, Health Catalyst has a set of products that is optimized for your current environment and scalable to meet your future analytics needs, at the pace your health system selects. The graphic below highlights the range of our product offerings that fit across the various levels of the Analytics Adoption Model.

    See how our products map to the Analytics Adoption Model

    Read More About Healthcare Analytics

    The Analytics Adoption Model White Paper  
    Dale Sanders, Senior Vice President, Strategy

    Evaluating 4 Different Types of Approaches to Analytics Solutions  
    Dale Sanders, Senior Vice President, Senior Vice President, Strategy

    How to Evaluate a Clinical Analytics Vendor: a Checklist 
    Dale Sanders, Senior Vice President, Strategy

    The Best Approach for Healthcare Analytics  
    Tom Burton, Senior Vice President and Co-Founder

    Three Common Pitfalls in Healthcare Analytics  
    Russ Staheli, Vice President, Analytics

    Two Helpful Webinars

    The Analytics Adoption Model Explained  (On Demand Webinar, Slides, and Transcript)
    Dale Sanders, Senior Vice President, Strategy

    Healthcare 2.0: The Age of Analytics  (On Demand Webinar, Slides, and Transcript)
    Dale Sanders, Senior Vice President, Strategy

    PowerPoint Slides

    Would you like to use or share these concepts? Download this Healthcare Analytics Adoption Model presentation highlighting the key main points.

    Click Here to Download the Slides